Einstein Studio lets Data Cloud customers build supervised ML models on their first-party data to drive sales efficiency. A standard, fully supported template is Customer Lifetime Value (CLV), which scores each account on its expected future revenue. Sales operations can then prioritize high-value accounts, allocate territory resources, and tailor upsell or renewal plays—directly improving efficiency. The other listed predictions relate to marketing sentiment analysis or merchandising demand and are not among the out-of-the-box sales-operations use cases highlighted for Einstein Studio.

A. Sentiment prediction targets marketing message performance, not sales-operations efficiency; also delivered by Marketing Cloud Einstein, not Einstein Studio’s sales-focus templates.

C. “Most popular products from new catalog” is a commerce merchandising forecast; Einstein Studio requires historical purchase data, and popularity prediction isn’t provided in its sales templates.

1. Salesforce Help

“Einstein Studio Overview

” Section “Common Prediction Types – Customer Lifetime Value”. URL: https://help.salesforce.com/s/articleView?id=sf.genieesoverview.htm&type=5

2. Salesforce Trailhead

Module “Data Cloud Einstein Studio”

Unit “Build a Customer Lifetime Value Model” (accessed 2025-10-13).

3. Salesforce Data Cloud Developer Guide

Summer ’24

Chapter “Model Templates”

pp. 130-133 – “Customer Lifetime Value Template”.